The remote run proved the instrumentation did not work. Timing landed — "chunk 1/1 was killed after 2006ms" — but the in-flight-file naming produced nothing and fell through to the pre-existing generic message. The feature I wrote to diagnose a kill was itself destroyed by the kill. Root cause, confirmed rather than assumed. The reporter yielded strings, which node pipes into the --test-reporter-destination WriteStream. That stream BUFFERS. execFileSync's timeout sends SIGKILL, which is uncatchable and gives nothing a chance to flush, so the events sat in a buffer that died with the child. The parent's own timer reported correctly because it lives in the parent — which is exactly why half the feature looked fine. The reporter now writes each event with fs.appendFileSync, unbuffered and durable at the moment it happens, to a path passed through GSD_RUN_TESTS_EVENTS_FILE. Env vars do not count toward the Windows 32,767-char argv ceiling, so moving the path out of argv also REDUCES FIXED_OVERHEAD; the accounting moved with it rather than being left stale. The destination is now a fixed devNull sink that stays empty by design. Silence was the reason this was invisible for a whole run. Failing to read the events file now says so explicitly, and distinguishes a file that could not be read at all from one that exists but is empty — the generic fallback firing quietly is what let a broken feature look like a working one. A write is unbuffered but not atomic, so a kill can still interleave a partial line; the reader tolerates exactly one unparsable trailing line and reports the complete ones before it. The failing T1 was left red and untouched rather than weakened to pass. Three new unit tests cover the reader directly, with no subprocess, so the parsing half is verifiable without a full runner pass: missing file, existing-but-empty file, and a truncated final line. Also adds ndjson-reporter.cjs to GSD_SCRIPTS_LIB_FILES in bin/install.js — scripts/lib/ ships, and omitting it meant the file would install everywhere and orphan on uninstall. That single omission caused 4 of the 7 remote failures. Verification runs on the remote runner. Refs #4012
GSD Core
Git. Ship. Done.
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A light-weight meta-prompting, context engineering, and spec-driven development system for Claude Code, OpenCode, Antigravity CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more.
What is GSD Core
GSD Core is a context-engineering and spec-driven development framework that drives AI coding agents (Claude Code, Codex, Antigravity CLI, Kimi CLI, Copilot, Cursor, and more) through a disciplined phase loop. It solves context rot — the quality degradation that accumulates as an AI fills its context window — by running all heavy research, planning, and execution work in fresh-context subagents while keeping your main session lean.
How it works
Each milestone repeats the same five-step loop, one phase at a time:
- Discuss — capture implementation decisions before anything is planned
- Plan — research, decompose, and verify the plan fits a fresh context window
- Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
- Verify — walk through what was built; diagnose and fix before declaring done
- Ship — create the PR, archive the phase, repeat for the next one
Quickstart
npx @opengsd/gsd-core@latest
The installer prompts for your runtime (Claude Code, OpenCode, Antigravity CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more) and whether to install globally or locally. The installer is required for cross-runtime compatibility — do not copy files from agents/ or commands/ directly.
On another runtime or without Node.js? See Install on your runtime.
Once installed, start a new project or onboard an existing repo:
/gsd-new-project # greenfield project
/gsd-onboard # existing codebase
New here? Follow Your first project for a guided walkthrough from install to first shipped phase, or Onboarding an existing codebase for brownfield setup.
Documentation
What's new in 1.7.0 → docs/whats-new-1.7.0.md
Tutorials — learning by doing:
How-to guides — task-focused recipes:
Reference — authoritative facts:
Explanation — concepts and design decisions:
Full index: docs/README.md. Other languages: 日本語 · 한국어 · Português · 简体中文.
Why it works
Most AI-coding setups fail at scale because context bloat silently degrades output quality, there is no shared memory between sessions, and nothing verifies that code actually works. GSD Core solves all three: heavy work runs in fresh subagents, structured artifacts like STATE.md and CONTEXT.md survive session boundaries, and the verify step walks through what was built and generates fix plans before a phase is declared done. See docs/explanation/context-engineering.md for the full reasoning.
Troubleshooting? See docs/how-to/recover-and-troubleshoot.md.
Community
| Project | Platform |
|---|---|
| gsd-opencode | Original OpenCode port |
| Discord | Community support |
Star History
License
MIT License. See LICENSE for details.
Claude Code is powerful. GSD Core makes it reliable.